Fatigue reliability predictions in silicon nitride ceramics based on fatigue behavior, bridging stresses and fracture data Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/vd66w292r

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  • Because of its attractive material properties like high hardness, high toughness, and excellent high temperature strength, materials like silicon nitride are becoming more common for use in high performance applications. However, there have been limited studies of the fatigue behavior of small cracks in silicon nitride and other materials toughened by grain bridging mechanisms. This study explores using micro Raman spectroscopy, fatigue crack growth data and results from static fracture experiments to determine a bridging stress profile for silicon nitride doped with MgO and Y₂O₃ as sintering additives. These bridging stress profiles allow for the creation of a geometry specific fatigue threshold R-curve which can be used to develop a fatigue endurance strength prediction tool to aid in the design of products using the material. Cyclical fatigue experiments conducted on bend beams with induced semi-elliptical surface cracks were conducted to verify the prediction tool. The results show that no bend beams with this crack geometry failed below the predicted endurance level. It is expected that this method can be extended to create fatigue endurance strength predictions for other materials similarly toughened by grain bridging and other mechanisms.
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  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2013-01-07T21:36:53Z (GMT) No. of bitstreams: 3 license_rdf: 21791 bytes, checksum: edec36a05ea144a7d0904ee6714c2151 (MD5) license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) RawleyGreene_Dissertation.pdf: 3239134 bytes, checksum: a60e73e291b697bc8b3b9079f827246b (MD5)
  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2013-01-10T00:23:49Z (GMT) No. of bitstreams: 3 license_rdf: 21791 bytes, checksum: edec36a05ea144a7d0904ee6714c2151 (MD5) license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) RawleyGreene_Dissertation.pdf: 3239134 bytes, checksum: a60e73e291b697bc8b3b9079f827246b (MD5)
  • description.provenance : Made available in DSpace on 2013-01-10T00:23:50Z (GMT). No. of bitstreams: 3 license_rdf: 21791 bytes, checksum: edec36a05ea144a7d0904ee6714c2151 (MD5) license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) RawleyGreene_Dissertation.pdf: 3239134 bytes, checksum: a60e73e291b697bc8b3b9079f827246b (MD5) Previous issue date: 2012-09-06
  • description.provenance : Submitted by Rawley Greene (greenraw@onid.orst.edu) on 2013-01-04T19:25:40Z No. of bitstreams: 3 license_rdf: 21791 bytes, checksum: edec36a05ea144a7d0904ee6714c2151 (MD5) license_text: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) RawleyGreene_Dissertation.pdf: 3239134 bytes, checksum: a60e73e291b697bc8b3b9079f827246b (MD5)

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